Computers & Security

Papers
(The median citation count of Computers & Security is 8. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board216
VeracOS: An operating system extension for the veracity of files167
Editorial Board163
Reading is not believing: A multimodal adversarial attacker for Chinese-NLP model146
DynamicFuzz: Confidence-based directed greybox fuzzing for programs with unreliable call graphs139
Evaluating cyber attacks on central banks – identification of trends in cyber threat landscape139
FiPiBox:Development of firewall for IoT networks using P4Pi135
Influencing the security prioritisation of an agile software development project131
A permission-carrying security policy and static enforcement for information flows in Android programs129
RETRACTED: I recognize you by your steps: Privacy impact of pedometer data129
PPT: A privacy-preserving global model training protocol for federated learning in P2P networks125
Wasserstein distance guided feature Tokenizer transformer domain adaptation for network intrusion detection125
Investigating machine learning attacks on financial time series models124
BotPro: Data-driven tracking & profiling of IoT botnets in the wild123
The Reverse File System: Towards open cost-effective secure WORM storage devices for logging119
Navigating Cybersecurity Governance: The influence of opportunity structures in socio-technical transitions for small and medium enterprises117
Cybersecurity optimization in supply chains under propagated cyberattacks115
A lightweight packet forwarding verification in SDN using sketch114
Exploring compiler optimization space for control flow obfuscation110
Enhancing intrusion detection in containerized services: Assessing machine learning models and an advanced representation for system call data104
An analysis of zero-trust architecture and its cost-effectiveness for organizational security104
Learning from cyber security incidents: A systematic review and future research agenda102
Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach100
Multivariate time series anomaly detection with variational autoencoder and spatial–temporal graph network98
Defend against adversarial attacks in malware detection through attack space management98
A bio-inspired optimal feature with convolutional GhostNet based squeeze excited deep-scale capsule network for intrusion detection97
Enhancing encrypted traffic analysis via source APIs: A robust approach for malicious traffic detection96
AIDTF: Adversarial training framework for network intrusion detection96
Security First, Security by Design, or Security Pragmatism – Strategic Roles of IT Security in Digitalization Projects95
Towards a metrics suite for evaluating cache side-channel vulnerability: Case studies on an open-source RISC-V processor94
Covert timing channel detection based on isolated binary trees93
The Security Awareness Adventure: A serious game for security awareness training utilizing a state transition system and a probabilistic model91
Cybersecurity preparedness of small-to-medium businesses: A Western Australia study with broader implications89
Improving transferable adversarial attack via feature-momentum89
AttackNet: Enhancing biometric security via tailored convolutional neural network architectures for liveness detection88
A typology of cybersecurity behavior among knowledge workers88
MADONNA: Browser-based malicious domain detection using Optimized Neural Network by leveraging AI and feature analysis87
A novel Evil Twin MiTM attack through 802.11v protocol exploitation85
MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach84
GCN-MHSA: A novel malicious traffic detection method based on graph convolutional neural network and multi-head self-attention mechanism84
TrojanProbe: Fingerprinting Trojan tunnel implementations by actively probing crafted HTTP requests81
Exploring capacitive swipe gesture for user authentication using a new large dataset81
An anomaly detection model for in-vehicle networks based on lightweight convolution with spectral residuals81
A multi-type vulnerability detection framework with parallel perspective fusion and hierarchical feature enhancement76
New results on modeling and hybrid control for malware propagation in cyber–physical systems76
Multidimensional categorical data collection under shuffled differential privacy75
Multi-probability sampling-based detection of malicious switching nodes in SDN75
Detecting DBMS bugs with context-sensitive instantiation and multi-plan execution75
Web of shadows: Investigating malware abuse of internet services74
NERO: NEural algorithmic reasoning for zeRO-day attack detection in the IoT: A hybrid approach73
PVFL: Verifiable federated learning and prediction with privacy-preserving72
Assessing information security culture: A mixed-methods approach to navigating challenges in international corporate IT departments72
Insecure by design? A human-centric security perspective on AI-assisted software development72
KPointer: Keep the code pointers on the stack point to the right code71
Would US citizens accept cybersecurity deresponsibilization? Perhaps not70
Forecasting cyber security threats landscape and associated technical trends in telehealth using Bidirectional Encoder Representations from Transformers (BERT)70
Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems69
White-box content camouflage attacks against deep learning69
Comparative evaluation of recent universal adversarial perturbations in image classification68
Fuzzing drones for anomaly detection: A systematic literature review68
Robust and reusable LINDDUN privacy threat knowledge67
Beyond the sandbox: Leveraging symbolic execution for evasive malware classification67
Tamp-X: Attacking explainable natural language classifiers through tampered activations66
Understanding the chief information security officer: Qualifications and responsibilities for cybersecurity leadership66
Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples65
Improving adversarial transferability through hybrid augmentation65
Cross-site scripting detection with two-channel feature fusion embedded in self-attention mechanism65
Editorial Board64
DeMal: Module decomposition of malware based on community discovery64
μ 64
PRIVIUM: A differentiated privacy-privilege model for user security and safety in the metaverse63
SENSE: An unsupervised semantic learning model for cross-platform vulnerability search62
Adaptive edge security framework for dynamic IoT security policies in diverse environments62
BiTCN-TAEfficientNet malware classification approach based on sequence and RGB fusion60
LiDAR point cloud transmission: Adversarial perspectives of spoofing attacks in autonomous driving60
Improving transferability of adversarial examples by saliency distribution and data augmentation60
IDPFilter: Mitigating interdependent privacy issues in third-party apps59
You are your friends: Detecting malware via guilt-by-association and exempt-by-reputation59
Privacy-preserving distributed clustering: A fully homomorphic encrypted approach for time series58
Examining the inconsistent effect of privacy control on privacy concerns in e-commerce services: The moderating role of privacy experience and risk propensity58
Attack smarter: Attention-driven fine-grained webpage fingerprinting attacks58
Enhancing adversarial robustness for deep metric learning via neural discrete adversarial training57
Cyberattacks, perception, and market impact: Financial and social media dynamics of breach disclosure57
ICloud: An intrusion detection and dynamic defense mechanism for cloud environments57
Privacy preserving unique robust and revocable passcode generation from fingerprint data56
GAIL-PT: An intelligent penetration testing framework with generative adversarial imitation learning56
HT2ML: An efficient hybrid framework for privacy-preserving Machine Learning using HE and TEE56
Faster secure and efficient collaborative private data cleaning based on PSI56
Behind the scenes of attack graphs: Vulnerable network generator for in-depth experimental evaluation of attack graph scalability56
Extended right-angle difference ternary co-relation pattern: A new feature descriptor for face anti-spoofing56
RAIDS: Robust autoencoder-based intrusion detection system model against adversarial attacks55
Endpoint security reinforcement via integrated zero-trust systems: A collaborative approach55
Smart homes under siege: Assessing the robustness of physical security against wireless network attacks55
Clustered federated learning architecture for network anomaly detection in large scale heterogeneous IoT networks55
Formally verifying security protocols built on watermarking and jamming54
When expectation fails and motivation prevails: the mediating role of awareness in bridging the expectancy-capability gap in mobile identity protection54
An efficient two-stage pipeline model with filtering algorithm for mislabeled malware detection53
The meta attack language - a formal description53
FineGCP: Fine-grained dependency graph community partitioning for attack investigation53
A large-scale analysis of the effectiveness of publicly reported security patches53
Integrity coded databases - protecting data integrity for outsourced databases52
GONE: A generic O(1) NoisE layer for protecting privacy of deep neural networ52
Model-based structural and behavioral cybersecurity risk assessment in system designs52
Defending against BLE-based covert channels in crowdsourced location networks51
Extending the classical side-channel analysis framework to access-driven cache attacks51
Navigating challenging terrain surrounding DoD response to homeland attacks on critical infrastructure: Case studies of prior incidents utilizing an extended taxonomy of cyber harms51
Erratum to ‘Ensemble transfer attack targeting text classification systems’ [Computers & Security 117 (2022) 1–8/ 102695]51
Improving the transferability of targeted adversarial examples by style-agnostic attack51
Editorial Board51
PIXHELL: When pixels learn to scream51
AVX-TSCHA: Leaking information through AVX extensions in commercial processors51
TIMFuser: A multi-granular fusion framework for cyber threat intelligence50
Dealing with uncertainty in cybersecurity decision support50
Unawareness detection: Discovering black-box malicious models and quantifying privacy leakage risks50
ML-based intrusion detection system for precise APT cyber-clustering50
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies50
Adversarial training for deep learning-based cyberattack detection in IoT-based smart city applications49
ILL-IDS: An incremental lifetime learning IDS for VANETs49
Conditional entropy-based hybrid DDoS detection model for IoT networks49
APT beaconing detection: A systematic review48
Add noise to remove noise: Local differential privacy for feature selection48
A classification-by-retrieval framework for few-shot anomaly detection to detect API injection48
“I don't get it, but I accept it” Exploring uninformed consent to privacy policies: A neutralization perspective48
Cyber-attacks: Securing ship navigation systems using multi-layer cross-validation defense47
Perspectives of non-expert users on cyber security and privacy: An analysis of online discussions on twitter47
An empirical study of vulnerability discovery methods over the past ten years46
The modern cybersecurity analyst: An international position analysis46
A hybrid deep learning framework for privacy preservation in edge computing46
XLMR4MD: New Vietnamese dataset and framework for detecting the consistency of description and permission in Android applications using large language models46
VWA-6G AI assisted continuous security monitoring over open RAN service management orchestration45
Wavelet-based CSI reconstruction for improved wireless security through channel reciprocity45
A Comprehensive Survey of Recent Internet Measurement Techniques for Cyber Security45
Vulnerability detection through machine learning-based fuzzing: A systematic review45
Detection and mitigation of vampire attacks with secure routing in WSN using weighted RNN and optimal path selection44
A sequential deep learning framework for a robust and resilient network intrusion detection system44
Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses44
FLADEN: Federated Learning for Anomaly DEtection in IoT Networks44
Multivocal literature review on zero-trust security implementation44
Integrating security in hazard analysis using STPA-Sec and GSPN: A case study of automatic emergency braking system44
Analysis of statistical properties of variables in log data for advanced anomaly detection in cyber security43
Assessing the impact of packing on static machine learning-based malware detection and classification systems43
Modelling language for cyber security incident handling for critical infrastructures43
Using approximate matching and machine learning to uncover malicious activity in logs43
The applicability of a hybrid framework for automated phishing detection43
A critical survey of the security and privacy aspects of the Aadhaar framework42
Detecting command injection vulnerabilities in Linux-based embedded firmware with LLM-based taint analysis of library functions42
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection42
Cookie disclaimers: Dark patterns and lack of transparency42
ADFL: Defending backdoor attacks in federated learning via adversarial distillation41
A multi-source log semantic analysis-based attack investigation approach41
BenchMFC: A benchmark dataset for trustworthy malware family classification under concept drift41
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction41
Insights into security and privacy towards fog computing evolution40
Personal CAPTCHA-based authentication protocol40
Design, implementation, and automation of a risk management approach for man-at-the-End software protection40
Object-free backdoor attack and defense on semantic segmentation40
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity40
Information security policies compliance in a global setting: An employee's perspective40
Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network40
Improving adversarial robustness through a curriculum-guided reliable distillation39
Audio adversarial detection through classification score on speech recognition systems39
Who are querying for me? Measuring the dependency and centralization in recursive resolution39
SMCD: Privacy-preserving deep learning based malicious code detection39
Editorial Board39
Corrigendum to ‘Research on Lightweight Anomaly Detection of Multimedia Traffic in Edge Computing’ Computer & Security, 111(2021) 10246339
Ensuring secure interoperation of access control in a multidomain environment39
Ibn Sina: A patient privacy‐preserving authentication protocol in medical internet of things39
Defense against underwater spy-robots: A distributed anti-theft topology control mechanism for insecure UASN38
Optimized verifiable delegated private set intersection on outsourced private datasets38
AdvCheck: Characterizing adversarial examples via local gradient checking38
Enhancing security and robustness of Cyphal on Controller Area Network in unmanned aerial vehicle environments38
DMSCTS: Dynamic measurement scheme for the containers-hybrid-deployment based on trusted subsystem38
Edge Implicit Weighting with graph transformers for robust intrusion detection in Internet of Things network38
Secure and efficient application monitoring and replication without kernel patches38
CPID: Insider threat detection using profiling and cyber-persona identification37
BeaCon: Automatic container policy generation using environment-aware dynamic analysis37
Chameleon: Optimized feature selection using particle swarm optimization and ensemble methods for network anomaly detection37
Privacy-centered authentication: A new framework and analysis37
An optimized neural network for prediction of security threats on software testing37
Adaptive sensor attack detection and defense framework for autonomous vehicles based on density37
FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection37
Enhancing cybersecurity in cloud computing and WSNs: A hybrid IDS approach37
A Proactive Approach to assess web application security through the integration of security tools in a Security Orchestration Platform37
An automated closed-loop framework to enforce security policies from anomaly detection37
An adaptive fuzzing method based on transformer and protocol similarity mutation37
Operations-informed incident response playbooks37
Enhancing can security with ML-based IDS: Strategies and efficacies against adversarial attacks37
TTSAD: TCN-Transformer-SVDD Model for Anomaly Detection in air traffic ADS-B data37
Statistical machine learning defensive mechanism against cyber intrusion in smart grid cyber-physical network36
A review on client-server attacks and defenses in federated learning36
GRAIN: Graph neural network and reinforcement learning aided causality discovery for multi-step attack scenario reconstruction36
A privacy-aware authentication and usage-controlled access protocol for IIoT decentralized data marketplace36
ZKSA: Secure mutual Attestation against TOCTOU Zero-knowledge Proof based for IoT Devices36
User-centric security analysis of MitID: The Danish passwordless digital identity solution36
SNDMI: Spyware network traffic detection method based on inducement operations36
A new deep boosted CNN and ensemble learning based IoT malware detection36
IoT security: On-chip secure deletion scheme using ECC modulation in IoT appliances36
Governing cybersecurity from the boardroom: Challenges, drivers, and ways ahead36
Cancelable iris template based on slicing36
Synthetic attack data generation model applying generative adversarial network for intrusion detection36
Editorial Board36
Know your enemy: Conversational agents for security, education, training, and awareness at scale35
Hilbert signal envelope-based multi-features methods for GNSS spoofing detection35
A login page transparency and visual similarity-based zero-day phishing defense protocol35
Improving monolithic kernel security and robustness through intra-kernel sandboxing35
BD-MDLC: Behavior description-based enhanced malware detection for windows environment using longformer classifier35
Corrigendum to “Evaluation framework for quantum security risk assessment: A comprehensive strategy for quantum-safe transition” [Computers & Security, 150, 104272]35
VulGAI: vulnerability detection based on graphs and images35
Accountable, Scalable and DoS-resilient Secure Vehicular Communication35
VERTFuzz: Version transformer-driven fuzzing for complex file parsers34
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems34
"No point worrying" – The role of threat devaluation in information security behavior34
A lightweight deep learning framework for botnet detecting at the IoT edge34
SHAPE: An APT detection framework fusing semantic understanding and heterogeneous modeling34
Detection of anomalies of a non-deterministic software-defined networking control34
Ensemble transfer attack targeting text classification systems34
A survey on JPEG image forensics: Exploring key advances and persistent challenges in compression and quantization analysis33
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning33
GJALLARHORN: A framework for vulnerability detection via electromagnetic side-channel analysis in embedded systems33
Points of the local optimal privacy utility tradeoff33
GSEDroid: GNN-based Android malware detection framework using lightweight semantic embedding33
STFT-TCAN: A TCN-attention based multivariate time series anomaly detection architecture with time-frequency analysis for cyber-industrial systems33
A Comprehensive Survey for IoT Security Datasets Taxonomy, Classification and Machine Learning Mechanisms33
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning33
BinVulDet: Detecting vulnerability in binary program via decompiled pseudo code and BiLSTM-attention33
Erasure code backup system for data security33
MER-GCN: Reasoning about attacking group behaviors using industrial control system attack knowledge graphs32
CDDA-MD: An efficient malicious traffic detection method based on concept drift detection and adaptation technique32
Network intrusion detection based on n-gram frequency and time-aware transformer32
Extending limited datasets with GAN-like self-supervision for SMS spam detection32
Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding32
A survey on the evolution of fileless attacks and detection techniques32
Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models32
Unveiling encrypted traffic types through hierarchical network characteristics32
AECR: Automatic attack technique intelligence extraction based on fine-tuned large language model32
Data reduction for black-box adversarial attacks against deep neural networks based on side-channel attacks31
NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system31
Privacy-preserving spatiotemporal trajectory generalization publishing scheme with differential privacy31
Automated city shuttles: Mapping the key challenges in cybersecurity, privacy and standards to future developments31
Time for De-cluttering: Digital clutter scaling for individuals and enterprises31
An omnidirectional approach to touch-based continuous authentication31
Fast and practical intrusion detection system based on federated learning for VANET31
SVulDetector: Vulnerability detection based on similarity using tree-based attention and weighted graph embedding mechanisms31
A systematic survey on physical layer security oriented to reconfigurable intelligent surface empowered 6G31
MRC-VulLoc: Software source code vulnerability localization based on multi-choice reading comprehension30
HP-MIA: A novel membership inference attack scheme for high membership prediction precision30
NE-GConv: A lightweight node edge graph convolutional network for intrusion detection30
Malware classification through Abstract Syntax Trees and L-moments30
SGBA: A stealthy scapegoat backdoor attack against deep neural networks30
ITC: Intrusion tolerant controller for multicontroller SDN architecture30
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